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Alejandro Jiménez-Rodríguez
Universidad Autónoma de Manizales
Colombia
Luis Fernando Castillo
Universidad Autónoma de Manizales
Colombia
Manuel González
University of Minho
Portugal
Vol. 1 No. 2 (2012), Articles, pages 35-42
DOI: https://doi.org/10.14201/ADCAIJ2012123542
Accepted: Jul 1, 2013
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Abstract

In this paper, a mechanism of emotional bias in decision making is studied using Spiking Neural Networks to simulate the associative and recurrent networks involved. The results obtained are along the lines of those proposed by A. Damasio as part of the Somatic Marker Hypothesis, in particular, that, in absence of emotional input, the decision making is driven by the rational input alone. Appropriate representations for the Objective and Emotional Values are also suggested, provided a spike representation (code) of the information.

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